Research
Grass Filtering Separates Requests From Useful Work
Detection improvements need denominators and review paths.
Published Updated

Grass-linked updates describe stronger filtering of automated requests, false participants and repeat bad actors, alongside a participant call on progress, roadmap and business milestones. No numerical success-rate series is supplied. The useful distinction is between submitted traffic and work that survives validation: quarantined activity should not inflate delivered capacity. Timing and repeated-task checks also need a review path for legitimate devices with irregular connectivity. Detection, evidence retention and operator feedback answer different reliability questions.